“AI agents” is one of those terms that shows up everywhere all of a sudden – in product announcements, blog posts, and conversations that start with “have you seen this yet?”
Still, the idea behind it is fairly straightforward. These are tools designed to handle small chains of tasks with a bit more independence than traditional automation. Not in a dramatic, fully autonomous way, but enough to reduce how often someone has to step in and move things along.
What’s interesting is how quickly this category has grown. New platforms appear almost weekly, while existing tools quietly add agent-like features without making a big deal out of it. As a result, the space feels a bit scattered, not hard to access, but not always easy to map out either.
So instead of trying to define strict categories or draw comparisons, it makes more sense to look at what’s actually out there. Below is a list of AI agent tools and platforms that keep coming up across different teams and discussions – the kind of tools people are testing, mentioning, and gradually working into their day-to-day marketing environment.
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1. Creatio
Creatio positions itself as an agentic CRM and workflow platform built around no-code tools and AI. The platform focuses on helping teams design workflows and applications using visual builders and natural language, rather than traditional development. It brings together CRM, automation, and process management in one place, with an emphasis on structuring how work moves across teams.
Another part of the platform is its approach to AI agents as extensions of these workflows. Instead of treating AI as a separate feature, Creatio integrates it directly into processes that teams already use, whether that’s marketing operations, sales pipelines, or service tasks. The idea is to let teams shape their own logic and flows, then layer AI on top to handle routine steps and coordination.
Wichtigste Highlights:
- No-code tools for building workflows and applications
- AI agents embedded into CRM and process automation
- Visual and natural language-based configuration
- Prebuilt workflows across multiple industries
- Focus on combining data, processes, and AI in one system
Für wen es am besten geeignet ist:
- Teams managing structured marketing and customer workflows
- Organizations looking to reduce reliance on development resources
- Companies that want to unify CRM and automation in one place
Kontaktinformationen:
- Website: www.creatio.com
- Email: info@creatio.com
- App Store: apps.apple.com/us/app/mobile-creatio/id708432450
- Google Play: play.google.com/store/apps/details?id=com.creatio.mobileapp
- Facebook: www.facebook.com/CreatioCompany
- Twitter: www.twitter.com/Creatio_Global
- LinkedIn: www.linkedin.com/company/creatioglobal
- Instagram: www.instagram.com/creatio_official
- Anschrift: 53 State Street, Stockwerk 37, Boston MA 02109
- Telefon: +1 617 765 7997
2. Kentico
Kentico presents itself as a digital experience platform that combines content management with marketing tools and AI features. It brings together content creation, campaign management, and customer journey tools into a single environment, with a focus on helping teams manage content across channels without heavy technical involvement.
Within that setup, AI is introduced through its AIRA components, which support tasks like content review and campaign execution. The platform leans toward keeping content consistent and organized while allowing teams to move faster across different channels. It also connects personalization, automation, and analytics in a way that keeps marketing activities tied to the same system.
Wichtigste Highlights:
- Combined CMS and digital marketing platform
- AI features for content review and campaign support
- Multichannel content management from a single interface
- Built-in tools for personalization and customer journeys
- Flexible deployment and integration options
Für wen es am besten geeignet ist:
- Marketing teams working across multiple content channels
- Organizations managing both content and campaigns in one system
- Teams looking to simplify content workflows without heavy IT input
Kontaktinformationen:
- Website: www.kentico.com
- Facebook: www.facebook.com/KenticoSoftware
- LinkedIn: www.linkedin.com/company/kenticosoftware
- Instagram: www.instagram.com/kentico_
- Address: Nové sady 996/25, 602 00 Brno, Czech Republic
- Phone: +420-778-441-918
3. Relevance AI
Relevance AI describes its platform as a way to build and manage AI agents that support go-to-market work. It focuses on creating what it calls AI workforces – groups of agents that can handle different parts of sales and marketing processes, from research to outreach and follow-ups.
The platform introduces a progression from assisted tasks to more autonomous workflows. Teams can start by delegating smaller actions and gradually move toward agents that operate across entire processes. It also connects with a wide range of tools, allowing these agents to work inside existing systems like CRMs, messaging platforms, and data tools.
Wichtigste Highlights:
- AI agents designed for GTM workflows
- Multi-agent systems that can operate together
- Gradual shift from assisted to autonomous processes
- Integration with a large number of business tools
- Monitoring and control over agent activity
Für wen es am besten geeignet ist:
- Teams managing outbound, inbound, or lifecycle workflows
- Organizations experimenting with multi-agent setups
- Companies looking to connect AI agents with existing tools
Kontaktinformationen:
- Website: relevanceai.com
- Twitter: x.com/RelevanceAI_
- LinkedIn: www.linkedin.com/company/relevanceai
4. Gumloop
Gumloop focuses on making AI agents accessible to teams without requiring deep technical setup. The platform allows users to create agents that connect to different tools and data sources, then run tasks in the background based on triggers or schedules.
It also introduces a shared workspace approach, where agents can be interacted with like teammates inside tools such as Slack or email. Instead of building isolated automations, Gumloop leans toward creating a network of agents that can be coordinated through a visual canvas and used across different parts of a company’s workflow.
Wichtigste Highlights:
- Agent creation without heavy setup or coding
- Integration with common workplace tools
- Visual canvas for orchestrating workflows
- Background task execution with triggers and schedules
- Support for multiple AI models without lock-in
Für wen es am besten geeignet ist:
- Teams looking to experiment with AI agents quickly
- Organizations working across multiple tools and data sources
- Teams that prefer conversational interaction with automation
Kontaktinformationen:
- Website: www.gumloop.com
- Twitter: x.com/gumloop
- LinkedIn: www.linkedin.com/company/gumloop
5. Goodie
Higoodie focuses on how brands appear inside AI-driven search and assistant responses. The platform is built around tracking, analyzing, and improving how AI models interpret and present brand-related information.
It combines research, monitoring, and optimization into a single workflow. Instead of focusing on traditional search rankings, the platform looks at prompts, mentions, and visibility across different AI systems. It also connects these insights with actions, helping teams adjust content and track how those changes affect visibility over time.
Wichtigste Highlights:
- Tracking brand presence across AI search platforms
- Monitoring mentions, sentiment, and visibility
- Research into prompts and user queries
- Tools for optimizing content for AI-generated responses
- Attribution connecting visibility to outcomes
Für wen es am besten geeignet ist:
- Teams focused on brand visibility in AI search environments
- Organizations tracking how AI models represent their content
- Companies exploring AEO alongside traditional SEO
Kontaktinformationen:
- Website: higoodie.com
- Twitter: x.com/Goodie_AI
- LinkedIn: www.linkedin.com/company/goodie-ai
- Instagram: www.instagram.com/goodieai
6. Landbase
Landbase presents its platform as a way to identify, qualify, and prioritize accounts using AI agents. It focuses on structuring how teams build and maintain target account lists, combining internal data with external signals to refine targeting.
The platform organizes this into a continuous process where agents handle steps like enrichment, scoring, and updates. Instead of static lists, it leans toward maintaining datasets that evolve over time as new signals appear. This shifts some of the manual research and filtering work into automated systems that operate in the background.
Wichtigste Highlights:
- AI-driven account targeting and qualification
- Continuous data enrichment and updates
- Use of internal and external data signals
- Automated scoring and prioritization
- Focus on maintaining dynamic account lists
Für wen es am besten geeignet ist:
- Teams working with account-based marketing approaches
- Organizations managing large prospect datasets
- Teams looking to reduce manual research and list building
Kontaktinformationen:
- Website: www.landbase.com
- Twitter: x.com/LandbaseGTM
- LinkedIn: www.linkedin.com/company/landbase
- Instagram: www.instagram.com/landbasegtm
- Address: 616 Ramona St, Suite 101, Palo Alto, CA 94301
7. Yarnit
Yarnit describes itself as an agentic AI platform focused on marketing and ecommerce workflows. It brings together multiple agents, prebuilt tools, and a framework for orchestrating tasks across content, campaigns, and commerce operations.
The platform includes a large set of predefined agents and apps that cover areas like SEO, content creation, and campaign management. It also allows teams to build custom workflows, connecting internal data and systems into a unified structure. The emphasis is on combining multiple agents rather than relying on a single assistant.
Wichtigste Highlights:
- Multi-agent orchestration for marketing and ecommerce
- Prebuilt agents and applications for common tasks
- Support for custom workflows and integrations
- Contextual intelligence using internal data sources
- Deployment options including SaaS and on-premise
Für wen es am besten geeignet ist:
- Teams managing both marketing and ecommerce workflows
- Organizations working with large volumes of content
- Companies looking to coordinate multiple AI agents together
Kontaktinformationen:
- Website: www.yarnit.app
- Email: hello@yarnit.app
- Facebook: www.facebook.com/yarnitapp
- LinkedIn: www.linkedin.com/company/yarnitapp
- Instagram: www.instagram.com/yarnitapp
- Address: #204, 88, Borewell Rd, Palm Meadows, Whitefield, Bengaluru, Karnataka 560066
8. Klaviyo
Klaviyo presents its platform as a B2C CRM that combines customer data, marketing channels, and AI agents. It focuses on connecting data with execution, allowing marketing and service interactions to be managed from a single system.
AI agents are introduced as part of this setup, handling tasks like campaign creation and customer interactions. The platform connects messaging channels such as email, SMS, and mobile notifications, while using data to personalize and automate communication. It positions AI as something embedded into ongoing customer engagement rather than a separate layer.
Wichtigste Highlights:
- B2C CRM with integrated marketing and service tools
- AI agents for campaign creation and customer interaction
- Unified customer data platform
- Support for multiple communication channels
- Integration with ecommerce and marketing systems
Für wen es am besten geeignet ist:
- Teams focused on customer lifecycle marketing
- Ecommerce and B2C organizations
- Companies managing communication across multiple channels
Kontaktinformationen:
- Website: www.klaviyo.com
- Email: sales@klaviyo.com
- Facebook: www.facebook.com/Klaviyo
- Twitter: x.com/klaviyo/
- LinkedIn: www.linkedin.com/company/klaviyo
- Instagram: www.instagram.com/klaviyo
9. Lyzr
Lyzr presents itself as a platform focused on deploying AI agents inside enterprise environments, with an emphasis on control, security, and production readiness. It centers around what it calls a control plane, where agents are designed, governed, and connected to real business workflows. The platform leans toward structured environments where processes are already defined and need coordination rather than experimentation.
From another angle, the setup is less about single agents and more about systems of agents built around specific roles or functions. There are prebuilt blueprints that reflect common operational patterns, including marketing-related workflows. The idea is to let teams adapt these templates to their own processes and run them inside their existing infrastructure without breaking compliance or internal rules.
Wichtigste Highlights:
- Infrastructure for deploying AI agents in enterprise environments
- Prebuilt agent blueprints for structured workflows
- Focus on governance, security, and compliance
- Support for private cloud and controlled environments
- Integration with existing business systems and processes
Für wen es am besten geeignet ist:
- Organizations with strict security and compliance requirements
- Teams working with structured, multi-step workflows
- Companies that need control over how AI agents operate in production
Kontaktinformationen:
- Website: www.lyzr.ai
- Twitter: x.com/lyzr__ai
- LinkedIn: www.linkedin.com/company/lyzr-platform
- Instagram: www.instagram.com/lyzr.ai
- Address: 155 2nd street, #108, Jersey City, NJ, 07302
10. Salesforce Agentforce
Salesforce Agentforce is positioned as part of a broader ecosystem where AI agents are integrated into existing business systems, data, and workflows. It extends the CRM environment by adding agents that can operate across customer service, marketing, sales, and internal processes, all connected through shared data layers.
What stands out is how the platform treats agents as part of a lifecycle rather than standalone tools. There are tools for building, testing, deploying, and supervising agents in one place, with options ranging from low-code to more technical configurations. The system also includes guardrails and structured logic to keep agent behavior predictable while still allowing flexibility in how tasks are handled.
Wichtigste Highlights:
- AI agents embedded into CRM and business workflows
- Tools for full agent lifecycle management
- Combination of structured logic and flexible reasoning
- Integration with enterprise data and systems
- Built-in guardrails and monitoring tools
Für wen es am besten geeignet ist:
- Organizations already using CRM-driven workflows
- Teams managing customer interactions across multiple channels
- Companies looking to extend existing systems with AI agents
Kontaktinformationen:
- Website: www.salesforce.com
- Facebook: www.facebook.com/salesforce
- Twitter: x.com/salesforce
- LinkedIn: www.linkedin.com/company/salesforce
- Instagram: www.instagram.com/salesforce
- Anschrift: 415 Mission Street, 3. Stock, San Francisco, CA 94105
- Telefon: 1-800-664-9073
11. Enrich Labs
Enrich Labs approaches AI agents as a set of specialized roles that handle marketing work across different channels. The platform organizes agents like a team, each responsible for a specific area such as content, SEO, or social monitoring, and all operating through a shared workflow.
Instead of focusing on dashboards or manual coordination, the system revolves around execution. Tasks move from brief to approval to publishing, with agents continuing to monitor and adjust activity in the background. Communication is kept simple, often through email or messaging tools, which makes the setup feel closer to managing people than managing software.
Wichtigste Highlights:
- Multiple AI agents structured as specialized roles
- Coverage across content, SEO, social, and campaign tasks
- Workflow from briefing to execution and monitoring
- Communication through familiar tools like email or Slack
- Continuous activity without manual coordination
Für wen es am besten geeignet ist:
- Teams handling multi-channel marketing operations
- Organizations that prefer workflow-based execution over dashboards
- Companies looking to coordinate several marketing functions together
Kontaktinformationen:
- Website: www.enrichlabs.ai
- Email: support@enrichlabs.ai
- Facebook: www.facebook.com/people/Enrich-Labs/61577046323137
- Twitter: x.com/enrich_labs
- LinkedIn: www.linkedin.com/company/enrich-labs-ai
- Instagram: www.instagram.com/enrichlabs.ai
12. HubSpot Breeze
HubSpot Breeze is introduced as an AI data agent within the broader HubSpot platform, focused on handling customer data and answering business questions. It works across CRM data, conversations, and external sources to build a more complete view of customer information.
The approach here is less about running campaigns directly and more about supporting decisions behind them. The agent pulls together fragmented data, interprets it, and provides answers in a conversational way. This shifts part of the analytical work into a system that operates continuously, without requiring manual reporting or data preparation.
Wichtigste Highlights:
- AI agent focused on customer data and insights
- Works across CRM, conversations, and external data
- Answers custom business questions automatically
- Reduces manual data analysis and preparation
- Integrated into the broader HubSpot platform
Für wen es am besten geeignet ist:
- Teams relying on CRM data for marketing decisions
- Organizations dealing with fragmented customer information
- Teams looking to simplify data analysis without technical setup
Kontaktinformationen:
- Website: www.hubspot.com
- Facebook: www.facebook.com/hubspot
- Twitter: x.com/HubSpot
- LinkedIn: www.linkedin.com/company/hubspot
- Instagram: www.instagram.com/hubspot
- Anschrift: 2 Canal Park, Cambridge, MA 02141, Vereinigte Staaten
- Telefon: +1 888 482 7768
13. CleverTap
CleverTap presents its platform as a customer engagement system where AI agents are used to support personalization and communication across different channels. It combines data collection, segmentation, and messaging into a single environment, with AI playing a role in decision-making and targeting.
The platform connects behavioral data with campaign execution, allowing agents to assist in choosing when and how users are engaged. It also brings together multiple communication channels such as push notifications, email, and in-app messaging, keeping them aligned within one system rather than spread across separate tools.
Wichtigste Highlights:
- Customer engagement platform with AI-driven decisioning
- Integration of data, segmentation, and messaging
- Support for multiple communication channels
- AI agents for personalization and targeting
- Unified environment for customer lifecycle management
Für wen es am besten geeignet ist:
- Teams managing ongoing customer engagement
- Organizations working with mobile and app-based audiences
- Companies focusing on personalization across channels
Kontaktinformationen:
- Website: clevertap.com
- Facebook: www.facebook.com/clevertap
- Twitter: x.com/clevertap
- LinkedIn: www.linkedin.com/company/clevertap
- Instagram: www.instagram.com/clevertapofficial
- Address: 535 Mission St, Unit 1624, San Francisco, CA 94105, USA
14. Jasper
Jasper frames its platform around AI agents that handle structured marketing workflows, especially those related to content and campaigns. It combines agents with what it calls content pipelines, where tasks move from planning to execution in a more organized sequence.
A noticeable part of the system is its focus on maintaining consistency. Brand voice, guidelines, and context are stored and reused across different tasks, which helps keep outputs aligned over time. Instead of isolated prompts or tasks, the platform leans toward repeatable workflows where agents operate within predefined structures.
Wichtigste Highlights:
- AI agents for structured marketing workflows
- Content pipelines for repeatable processes
- Centralized brand voice and guidelines
- Support for campaign, content, and personalization tasks
- Integration of context into all agent outputs
Für wen es am besten geeignet ist:
- Teams producing large volumes of content
- Organizations needing consistency across campaigns
- Companies structuring marketing work into repeatable processes
Kontaktinformationen:
- Website: www.jasper.ai
- Email: hey@jasper.ai
- Facebook: www.facebook.com/heyjasperai
- Twitter: x.com/heyjasperai
- LinkedIn: www.linkedin.com/company/heyjasperai
- Instagram: www.instagram.com/heyjasperai
15. Pecan AI
Pecan AI focuses on predictive AI agents that answer business questions by generating forecasts and insights from data. The platform is built around a conversational interface where users can ask questions and receive predictions without needing to build models manually.
Rather than emphasizing automation of tasks, the system concentrates on decision support. It handles data preparation, model creation, and validation in the background, then delivers predictions directly where decisions are made. This shifts the focus from building models to interpreting outcomes and acting on them.
Wichtigste Highlights:
- Predictive AI agent for business and marketing questions
- Automatic data preparation and model building
- Conversational interface for generating predictions
- Focus on decision support rather than task execution
- Integration of predictions into workflows
Für wen es am besten geeignet ist:
- Teams making data-driven marketing decisions
- Organizations without dedicated data science resources
- Companies needing forecasts for planning and optimization
Kontaktinformationen:
- Website: www.pecan.ai
- Email: info@pecan.ai
- Facebook: www.facebook.com/PecanAI
- Twitter: x.com/pecan_ai
- LinkedIn: www.linkedin.com/company/pecan-ai
16. Improvado
Improvado presents itself as a platform where AI agents operate on top of a unified data layer that connects multiple marketing and business systems. It focuses on bringing together data from different sources, then using that context to generate insights and execute actions.
What makes the setup slightly different is how it combines analytics and execution. The agent does not just surface reports but can also trigger changes, run experiments, and adjust campaigns. It treats marketing data as a continuous input rather than something reviewed periodically, which changes how decisions are made day to day.
Wichtigste Highlights:
- Unified data layer connecting multiple marketing tools
- AI agents for both insights and execution
- Natural language queries for analysis
- Automated experiment setup and optimization
- Continuous monitoring and data governance
Für wen es am besten geeignet ist:
- Teams working with large volumes of marketing data
- Organizations managing multiple platforms and channels
- Companies looking to connect analytics with execution
Kontaktinformationen:
- Website: improvado.io
- Facebook: www.facebook.com/Improvado.io
- Twitter: x.com/improvado
- LinkedIn: www.linkedin.com/company/improvado
- Address: 3919 30th St, San Diego, CA 92104
17. Braze
Braze positions itself as a customer engagement platform where AI is used to support messaging, personalization, and decision-making across channels. It combines data, communication tools, and AI into a system that focuses on managing customer interactions over time.
The platform introduces AI as part of how decisions are made within campaigns, rather than as a separate feature. Agents and decisioning tools help determine timing, messaging, and channel selection, while the system keeps all interactions connected. This creates a setup where communication flows are managed as part of a broader, ongoing process.
Wichtigste Highlights:
- Customer engagement platform with AI-driven decisioning
- Cross-channel messaging and journey orchestration
- Integration of data and communication tools
- Personalization based on real-time signals
- Support for ongoing customer interaction management
Für wen es am besten geeignet ist:
- Teams managing customer communication across channels
- Organizations focused on lifecycle and retention marketing
- Companies coordinating messaging in a single platform
Kontaktinformationen:
- Website: www.braze.com
- Twitter: x.com/braze
- LinkedIn: www.linkedin.com/company/792882
- Instagram: www.instagram.com/braze
- Address: 63 Madison Building – 28 E. 28th St., Floor 12 Mailroom, New York, NY 10016 – USA
Schlussfolgerung
Looking at all these platforms side by side, it’s hard to pin down a single definition of what an AI agent in marketing really is. Some feel like smart layers on top of data, others act more like extra hands doing the work, and a few sit somewhere in the middle without clearly fitting either role. It’s not messy exactly, just not fully settled yet.
What stands out more than anything is the direction things are moving in. There’s less focus on isolated tools and more on systems that can carry context, connect steps, and keep things moving without constant input. Not in a fully automated, “set it and forget it” way, but enough to take some pressure off the day-to-day work.
At the same time, it still feels like a space people are figuring out as they go. Different teams are trying different setups, keeping what fits, and ignoring what doesn’t. So instead of treating AI agents as a finished category, it probably makes more sense to see them as a shift that’s still taking shape – one that’s gradually changing how marketing work gets done behind the scenes.
